Machine Learning Engineer

at  Alberta Machine Intelligence Institute

“We’re really looking forward to welcoming a new Machine Learning Engineer to the team! This role is all about hands-on work, collaborating across teams, and building innovative AI solutions that align with our big-picture goals. We’re looking for someone who’s ambitious about pushing the limits of what AI can do while staying approachable in how they work with others. I can’t wait to see the impact they’ll make in driving our projects forward.”
– Steph Enders, Chief Delivery Officer

QUALIFICATIONS:

• Post Secondary Degree in Computer Science, Information Technology, Data Science, or a related field
• Advanced Degrees or Certifications in High-Performance Computing (HPC), Computer Science, ML/AI or Cloud Infrastructure (nice to have)
• 3+ years of experience in ML engineering practice or research in a fast-paced, innovative environment.
• 5+ years Experience in Python programming, MLOps infrastructure (e.g., PyTorch, TensorFlow, distributed LLM pre-training), systems administration, or software development roles in UNIX/Linux or large-scale high-performance computing environments (experience working with GPUs preferred), as well as associated cloud computing platform
• Source Code Analysis: Proficiency in analyzing the source code of AI-based software
• Experience in academic or industry research environments
• Familiarity with containerization technologies (e.g. Docker) and orchestration tools (e.g. Kubernetes)
• Experience with optimizing large-scale AI models for resource efficiency

WHAT YOU’LL LOVE ABOUT US

• A professional yet casual work environment that encourages the growth and development of your skills.
• Participate in professional development activities
• Gain access to the Amii community and events
• A chance to learn from amazing teammates who support one another to succeed.
• Competitive compensation, including paid time off and flexible health benefits.
• A modern office located in downtown Edmonton, Alberta.

ABOUT THE ROLE

The Machine Learning (ML) Engineer plays a key role in ensuring machine learning research and applied AI projects operate securely and effectively. As a key member of the team, the ML Engineer will collaborate with senior engineering leaders to help manage infrastructure, optimize AI workflows, develop training materials, and contribute to the technical development of both individuals and the organization.
The ML Engineer will work with cross-functional teams and external partners to support the development and execution of research and applied projects. Focusing on implementing and managing High-Performance Computing (HPC) systems and pipelines, ensuring efficient allocation of resources such as GPUs and TPUs. This role is critical to advancing research productivity and enabling state-of-the-art machine learning models.
In addition to hands-on technical work, the ML Engineer will contribute to the strategic planning of our infrastructure, working alongside the Director, IT, and the Director, Engineering to develop strategies, playbooks, and best practices for optimizing our tools, frameworks, and services.

The role focuses on achieving excellence in three main accountabilities:

• Infrastructure and Systems Management
• AI Workflow Optimization
• Technical Coaching and Collaboration